The Center for Machine Learning and Health (CMLH) at Carnegie Mellon University is one of two centers launched under the umbrella of the Pittsburgh Health Data Alliance, formed in 2015 to unite Carnegie Mellon's unrivaled applied-computing capabilities, the University of Pittsburgh's world-class health-sciences research, and UPMC's clinical care and commercialization expertise. The CMLH supports great science and engineering that can lead to innovative health solutions and new businesses.
The CMLH proposals are for internal Carnegie Mellon faculty-led projects only. (Additional co-PIs or collaborators from Pitt and/or UPMC are welcome as research members.)
Fellowships in Digital Health
Since 2017, 36 graduate students have been awarded one-year fellowships by UPMC Enterprises through the Center for Machine Learning and Health. Read more about our current cohort on the 2020 fellows page. Learn about previous recipients on our 2017, 2018 and 2019 fellows pages.
Innovation and Support Services
The CMLH provides services that support PIs through the entire research process: support in the CfP development, post-funding project support and more. See our Services page for more details.
From bench to bedside, the CMLH funds projects that strive to bridge the gap between research and practice. All funded work at CMLH will have a clear line of sight to commercial application. Although many CMLH projects will involve data analytics and machine learning, our approach is technology agnostic. We welcome proposals that involve human-computer interaction, language technologies, information systems, computer graphics, computer vision, artificial intelligence, robotics, electrical engineering, economics, psychology, sociology, public policy, business administration, law, design, and any other disciplines that apply to healthcare.
News and Information
Visit our News and Information page for relevant articles and the latest PHDA news.
Contact the CMLH at firstname.lastname@example.org or 412-268-6288.